Ivan K. Poon

413 citations
20 papers · 253 · h-index 11

Impact in

    • Breast Cancer Treatment Studies
    • HER2/EGFR in Cancer Research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

Ivan K. Poon

20 papers receiving 250 citations

Peers

Ivan K. Poon
Comparison fields: 5 of 34
  • Cancer Research 65
  • Oncology 107
  • Pathology and Forensic Medicine 67
  • Pulmonary and Respiratory Medicine 63
  • Dermatology 14
Replace Vassilena Tsvetkova with:
Vassilena Tsvetkova Italy
Sarah Barton United Kingdom
Thais Maloberti Italy
Helen Bolanaki Greece
Jason S. Starr United States
David Papadimos Australia
SC Linn Netherlands
Yutaro Mihara Japan
Akiko Ogiya Japan
Katalin Ormándi Hungary
Ivan K. Poon relative to Vassilena Tsvetkova Italy Vassilena Tsvetkova's profile →
Citations per field
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Vassilena Tsvetkova · 1×
Citations per year

Countries citing papers authored by Ivan K. Poon

Since Specialization
Citations

This map shows the geographic impact of Ivan K. Poon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ivan K. Poon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan K. Poon more than expected).

Fields of papers citing papers by Ivan K. Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan K. Poon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ivan K. Poon. The network helps show where Ivan K. Poon may publish in the future.

Co-authors

The 19 scholars most cited alongside Ivan K. Poon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivan K. Poon Line = papers co-authored together Ivan K. Poon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202029
2 202028
3 202027
4 202024
5 202224
6 202018
7 202015
8 202213
9 202111
10 202210
11 202110
12 20228
13 20208
14 20227
15 20237
16 20235
17 20214
18 20243
19 20241
20 20221

About Ivan K. Poon

Ivan K. Poon is a scholar working on Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Cancer Research and Neurology, having authored 20 papers that have together received 253 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (5 papers), Breast Cancer Treatment Studies (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Research Studies (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Neuroblastoma Research and Treatments (2 papers), Metastasis and carcinoma case studies (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cancer Research (65 citations), Oncology (107 citations), Pathology and Forensic Medicine (67 citations), Pulmonary and Respiratory Medicine (63 citations) and Dermatology (14 citations). Ivan K. Poon has collaborated with scholars based in Hong Kong, China and Thailand. Frequent co-authors include Gary M. Tse, Julia Y. Tsang, Siu‐Ki Chan, Joshua Li, Sai‐Yin Cheung, Yan Shao, Yun‐Bi Ni, Ronald Chan, Jintao Hu and Joanna H. Tong. Their work appears in journals such as Pathology, The Oncologist, Clinical Breast Cancer, Breast Cancer Research and Treatment and Histopathology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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